Results for 'gender bias'

995 found
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  1. Stereotypes, Conceptual Centrality and Gender Bias: An Empirical Investigation.Guillermo Del Pinal, Alex Madva & Kevin Reuter - 2017 - Ratio 30 (4):384-410.
    Discussions in social psychology overlook an important way in which biases can be encoded in conceptual representations. Most accounts of implicit bias focus on ‘mere associations’ between features and representations of social groups. While some have argued that some implicit biases must have a richer conceptual structure, they have said little about what this richer structure might be. To address this lacuna, we build on research in philosophy and cognitive science demonstrating that concepts represent dependency relations between features. These (...)
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  2.  43
    Gender Matters: Climate Change, Gender Bias, and Women’s Farming in the Global South and North.Samantha Noll, Trish Glazebrook & E. Opoku - 2020 - Agriculture 267 (10):1-25.
    Can investing in women’s agriculture increase productivity? This paper argues that it can. We assess climate and gender bias impacts on women’s production in the global South and North and challenge the male model of agricultural development to argue further that women’s farming approaches can be more sustainable. Level-based analysis (global, regional, local) draws on a literature review, including the authors’ published longitudinal field research in Ghana and the United States. Women farmers are shown to be undervalued and (...)
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  3. The Struggle for AI’s Recognition: Understanding the Normative Implications of Gender Bias in AI with Honneth’s Theory of Recognition.Rosalie Waelen & Michał Wieczorek - 2022 - Philosophy and Technology 35 (2).
    AI systems have often been found to contain gender biases. As a result of these gender biases, AI routinely fails to adequately recognize the needs, rights, and accomplishments of women. In this article, we use Axel Honneth’s theory of recognition to argue that AI’s gender biases are not only an ethical problem because they can lead to discrimination, but also because they resemble forms of misrecognition that can hurt women’s self-development and self-worth. Furthermore, we argue that Honneth’s (...)
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  4. How neo-Marxism creates bias in gender and migration research: evidence from the Philippines.Speranta Dumitru - 2018 - Ethnic and Racial Studies 15 (41):2790-2808.
    he paper analyses migration flows from the Philippines in two gendered occupations: domestic helpers and computer programmers. The international division of labour theory claims that foreign investment determines migration from developing countries, especially of women, towards low-skilled gendered occupations in developed countries. This paper shows that the division of labour is neither gendered nor international in the predicted sense. For instance, data from Philippines Overseas Employment Agency shows that the theory is Eurocentric as Northern America and Europe are destinations for (...)
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  5. Implicit bias, ideological bias, and epistemic risks in philosophy.Uwe Peters - 2019 - Mind and Language 34 (3):393-419.
    It has been argued that implicit biases are operative in philosophy and lead to significant epistemic costs in the field. Philosophers working on this issue have focussed mainly on implicit gender and race biases. They have overlooked ideological bias, which targets political orientations. Psychologists have found ideological bias in their field and have argued that it has negative epistemic effects on scientific research. I relate this debate to the field of philosophy and argue that if, as some (...)
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  6. IMPLICIT BIAS, STEREOTYPE THREAT, AND POLITICAL CORRECTNESS IN PHILOSOPHY.Sean Allen-Hermanson - 2017 - Philosophies 2 (2).
    This paper offers an unorthodox appraisal of empirical research bearing on the question of the low representation of women in philosophy. It contends that fashionable views in the profession concerning implicit bias and stereotype threat are weakly supported, that philosophers often fail to report the empirical work responsibly, and that the standards for evidence are set very low—so long as you take a certain viewpoint.
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  7. On gender and philosophical intuition: Failure of replication and other negative results.Hamid Seyedsayamdost - 2015 - Philosophical Psychology 28 (5):642-673.
    In their paper titled “Gender and philosophical intuition,” Buckwalter and Stich argue that the intuitions of women and men differ significantly on various types of philosophical questions. Furthermore, men's intuitions, so the authors claim, are more in line with traditionally accepted solutions of classical problems. This inherent bias, so the argument goes, is one of the factors that leads more men than women to pursue degrees and careers in philosophy. These findings have received a considerable amount of attention (...)
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  8. Gender.Anca Gheaus - 2018 - In Serena Olsaretti (ed.), Oxford Handbook of Distributive Justice. Oxford, UK: Oxford University Press. pp. 389-414.
    This chapter discusses gender in relation to the most influential current accounts of distributive justice. There are various disparities in the benefits and burdens of social cooperation between women and men. Which of these, if any, one identifies as indicative of gender injustice will depend on the theory of distributive justice that one endorses. Theoretical decisions concerning the role of personal responsibility, the goods whose distribution is relevant for justice, and the site of justice - institutions-only or individual (...)
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  9. Algorithmic Political Bias in Artificial Intelligence Systems.Uwe Peters - 2022 - Philosophy and Technology 35 (2):1-23.
    Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s (...)
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  10.  40
    Gender differential item functioning analysis of the University of Tehran English Proficiency Test.Enayat A. Shabani - 2010 - Research in Contemporary World Literature 56 (14):89-108.
    The University of Tehran English Proficiency Test (UTEPT) is a high-stakes entrance examination taken by more than 10,000 master’s degree holders annually. The examinees’ scores have a significant influence on the final decisions concerning admission to the University of Tehran Ph.D. programs. As a test validation investigation, the present study, which is a bias detection research in nature, utilized multistep logistic regression (LR) procedure to examine the presence of gender differential item functioning (DIF) in the UTEPT with a (...)
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  11. “Care drain”. Explaining bias in theorizing women’s migration.Speranta Dumitru - 2016 - Romanian Journal of Society and Politics 11 (2):7-24.
    Migrant women are often stereotyped. Some scholars associate the feminization of migration with domestic work and criticize the “care drain” as a new form of imperialism that the First World imposes on the Third World. However, migrant women employed as domestic workers in Northern America and Europe represent only 2% of migrant women worldwide and cannot be seen as characterizing the “feminization of migration”. Why are migrant domestic workers overestimated? This paper explores two possible sources of bias. The first (...)
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  12. Closing the gender gap in depression through the lived experience of young women – a response to ‘Don't mind the gap: Why do we not care about the gender gap in mental health?’, Patalay and Demkowicz (2023).Lucienne Spencer & Matthew Broome - 2023 - Child and Adolescent Mental Health 1.
    Most mental health research largely ignores or minimises gender and age differences in depression. In ‘Don't mind the gap: Why do we not care about the gender gap in mental health?’, Patalay and Demkowicz identify a dearth of research on the causal factors of depression in young women. They attribute this to an over-reliance on biological accounts of gender differences in depression. Patalay and Demkowicz conclude that a person-centred approach that meaningfully engages with the reports of young (...)
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  13. Feminism and Gender.Anca Gheaus - 2015 - In Andrew Fiala (ed.), Bloomsbury Companion to Political Philosophy. Bloomsbury Academic. pp. 167-183.
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  14. Leaky Pipeline Myths: In search of gender effects on the job market and early career publishing in philosophy (draft).Sean Allen-Hermanson - 2017 - Frontiers in Psychology 8.
    That philosophy is an outlier in the humanities when it comes to the underrepresentation of women has been the occasion for much discussion about possible effects of subtle forms of prejudice, including implicit bias and stereotype threat. While these ideas have become familiar to the philosophical community, there has only recently been a surge of interest in acquiring field-specific data. This paper adds to quantitative findings bearing on hypotheses about the effects of unconscious prejudice on two important stages along (...)
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  15. Validating the behavioral Defining Issues Test across different genders, political, and religious affiliations.Hyemin Han - 2023 - Experimental Results 4:e6.
    The Defining Issues Test (DIT) has been widely used in psychological experiments to assess one’s developmental level of moral reasoning in terms of postconventional reasoning. However, there have been concerns regarding whether the tool is biased across people with different genders and political and religious views. To address the limitations, in the present study, I tested the validity of the brief version of the test, that is, the behavioral DIT, in terms of the measurement invariance and differential item functioning (DIF). (...)
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  16.  83
    ANDROCENTRIC COMMUNICATION IN POSTGRADUATE DISSERTATIONS IN A NIGERIAN UNIVERSITY.Alexander Essien Timothy - manuscript
    Gender bias in the classroom has become an issue of global concern. This phenomenon is evident in textbooks, pedagogy, and the hidden curriculum. Since persons of all genders can equally contribute to national development, any factor that hinders persons of a particular gender from realising their full potentials should be examined and redressed. One of the areas where gender kurtosis is evident is in communication. This study, therefore, investigated the prevalence of gender skewness in academic (...)
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  17. The rational dynamics of implicit thought.Brett Karlan - 2021 - Australasian Journal of Philosophy (4):774-788.
    Implicit attitudes are mental states posited by psychologists to explain behaviors including implicit racial and gender bias. In this paper I investigate the belief view of the implicit attitudes, on which implicit attitudes are a kind of implicit belief. In particular, I focus on why implicit attitudes, if they are beliefs, are often resistant to updating in light of new evidence. I argue that extant versions of the belief view do not give a satisfactory account of this phenomenon. (...)
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  18.  65
    COPE Newsletter: In the news April 2020.Nancy Chescheir - 2020 - COPE News Letter 2020 (4).
    In a study of gender bias in 145 journals in various areas of research, including 1.7 million authors and 740,00 referees, these authors show that in biomedicine and health journals women authors were treated generally favourably by editors and reviewers. This is in contrast to social science and humanity journals. The authors advocate for gender diversity among reviewers and editors to mitigate the perception and reality of bias.
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  19. Argument as Combat.Jonny Blamey - manuscript
    Abstract Argument is seen as central to philosophy, especially epistemology. It is often said that philosophy teaches you to argue for any position. Arguments are used to justify beliefs and many people suppose that for a belief to be counted for knowledge it must be justified. In science, scientific theories must be backed by the evidence and it has been proposed that the relationship of evidence to theory is that of argument to conclusion. But is argument really so important? Arguments (...)
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  20. Sex Selection and Preimplantation Genetic Diagnosis: A Response to the Ethics Committee of the American Society for Reproductive Medicine.Edgar Dahl & Julian Savulescu - 2000 - Human Reproduction 15 (9):1879-1880.
    In its recent statement 'Sex Selection and Preimplantation Genetic Diagnosis', the Ethics Committee of the American Society of Reproductive Medicine concluded that preimplantation genetic diagnosis for sex selection for non-medical reasons should be discouraged because it poses a risk of unwarranted gender bias, social harm, and results in the diversion of medical resources from genuine medical need. We critically examine the arguments presented against sex selection using preimplantation genetic diagnosis. We argue that sex selection should be available, at (...)
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  21. The Space Between.Ellen Clarke - 2019 - Analyse & Kritik 41 (2):239-258.
    Buchanan and Powell hope to rescue optimism about moral perfectibility from the ’received view’ of human evolution, by tweaking our view of the innate character of morality. I argue that their intervention is hampered by an unnecessary commitment to nativism, by gender bias within the received view, and by liberal presuppositions.
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  22. How sexist is Aristotle's developmantal biology?Devin Henry - 2007 - Phronesis 52 (3):251-69.
    The aim of this paper is to evaluate the level of gender bias in Aristotle’s Generation of Animals while exercising due care in the analysis of its arguments. I argue that while the GA theory is clearly sexist, the traditional interpretation fails to diagnose the problem correctly. The traditional interpretation focuses on three main sources of evidence: (1) Aristotle’s claim that the female is, as it were, a “disabled” (πεπηρωμένον) male; (2) the claim at GA IV.3, 767b6-8 that (...)
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  23. Individual and Structural Interventions.Alex Madva - forthcoming - In Erin Beeghly & Alex Madva (eds.), An Introduction to Implicit Bias: Knowledge, Justice, and the Social Mind.
    What can we do—and what should we do—to fight against bias? This final chapter introduces empirically-tested interventions for combating implicit (and explicit) bias and promoting a fairer world, from small daily-life debiasing tricks to larger structural interventions. Along the way, this chapter raises a range of moral, political, and strategic questions about these interventions. This chapter further stresses the importance of admitting that we don’t have all the answers. We should be humble about how much we still don’t (...)
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  24.  15
    An examination of women's professional visibility in cognitive psychology.Jyotsna Vaid & Lisa Geraci - 2016 - Feminism and Psychology 26 (3):292-319.
    Mainstream psychological research has been characterized as androcentric in its construction of males as the norm. Does an androcentric bias also characterize the professional visibility of psychologists? We examined this issue for cognitive psychology, where the gender distribution in doctoral degrees has been roughly equal for several decades. Our investigation revealed that, across all indicators surveyed, male cognitive psychologists are more visible than their female counterparts: they are over-represented in professional society governance, as editors-in-chief of leading journals in (...)
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  25. More than Skin Deep: a Response to “The Whiteness of AI”.Shelley Park - 2021 - Philosophy and Technology 34 (4):1961-1966.
    This commentary responds to Stephen Cave and Kanta Dihal’s call for further investigations of the whiteness of AI. My response focuses on three overlapping projects needed to more fully understand racial bias in the construction of AI and its representations in pop culture: unpacking the intersections of gender and other variables with whiteness in AI’s construction, marketing, and intended functions; observing the many different ways in which whiteness is scripted, and noting how white racial framing exceeds white casting (...)
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  26. Understanding Moral Judgments: The Role of the Agent’s Characteristics in Moral Evaluations.Emilia Alexandra Antonese - 2015 - Symposion: Theoretical and Applied Inquiries in Philosophy and Social Sciences 2 (2): 203-213.
    Traditional studies have shown that the moral judgments are influenced by many biasing factors, like the consequences of a behavior, certain characteristics of the agent who commits the act, or the words chosen to describe the behavior. In the present study we investigated a new factor that could bias the evaluation of morally relevant human behavior: the perceived similarity between the participants and the agent described in the moral scenario. The participants read a story about a driver who illegally (...)
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  27. Objectification and vision: how images shape our early visual processes.Alice Roberts - 2021 - Synthese 32 (1-2).
    Objectification involves treating someone as a thing. The role of images in perpetuating objectification has been discussed by feminist philosophers. However, the precise effect that images have on an individual's visual system is seldom explored. Kathleen Stock’s work is an exception—she describes certain images of women as causing viewers to develop an objectifying ‘gestalt’ which is then projected onto real-life women. However, she doesn’t specify the level of visual processing at which objectification occurs. In this paper, I propose that images (...)
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  28.  68
    THE RELATIONSHIP BETWEEN SUBTLE PSYCHOLOGICAL CUES AND VOTER PREFERENCES AMONG UNIVERSITY STUDENTS.Tatenda Ngara - manuscript
    The success of any election depends on whether it was free and fair both to the candidates and the voters. Due to media coverage of national elections locally, regionally and globally, subtle psychological cues have become popular and are being used in student Representative Council (SRC) elections to harness voter preferences. This study focused on investigating the relationship between subtle psychological cues and voter preferences among university of Zimbabwe students. More so, the study was focused on four operationally defined subtle (...)
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  29. Materialized Oppression in Medical Tools and Technologies.Shen-yi Liao & Vanessa Carbonell - forthcoming - American Journal of Bioethics:1-15.
    It is well-known that racism is encoded into the social practices and institutions of medicine. Less well-known is that racism is encoded into the material artifacts of medicine. We argue that many medical devices are not merely biased, but materialize oppression. An oppressive device exhibits a harmful bias that reflects and perpetuates unjust power relations. Using pulse oximeters and spirometers as case studies, we show how medical devices can materialize oppression along various axes of social difference, including race, (...), class, and ability. Our account uses political philosophy and cognitive science to give a theoretical basis for understanding materialized oppression, explaining how artifacts encode and carry oppressive ideas from the past to the present and future. Oppressive medical devices present a moral aggregation problem. To remedy this problem, we suggest redundantly layered solutions that are coordinated to disrupt reciprocal causal connections between the attitudes, practices, and artifacts of oppressive systems. (shrink)
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  30. On statistical criteria of algorithmic fairness.Brian Hedden - 2021 - Philosophy and Public Affairs 49 (2):209-231.
    Predictive algorithms are playing an increasingly prominent role in society, being used to predict recidivism, loan repayment, job performance, and so on. With this increasing influence has come an increasing concern with the ways in which they might be unfair or biased against individuals in virtue of their race, gender, or, more generally, their group membership. Many purported criteria of algorithmic fairness concern statistical relationships between the algorithm’s predictions and the actual outcomes, for instance requiring that the rate of (...)
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  31. Science, biases, and the threat of global pessimism.K. Brad Wray - 2001 - Proceedings of the Philosophy of Science Association 2001 (3):S467-.
    Philip Kitcher rejects the global pessimists' view that the conclusions reached in inquiry are determined by the interests of some segment of the population, arguing that only some inquiries, for example, inquiries into race and gender, are adversely affected by interests. I argue that the biases Kitcher believes affect such inquiries are operative in all domains, but the prevalence of such biases does not support global pessimism. I argue further that in order to address the global pessimists' concerns, the (...)
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  32. Das Andere der Gerechtigkeit: Moraltheorie Im Kontext der Geschlechterdifferenz.Herlinde Pauer-Studer - 1996 - De Gruyter.
    What picture do we get when wie apply gender analysis to mainstream moral philosophy? Starting with an analysis of Kant, Hume and Rawls, Pauer–Studer develops the categorical framework of a moral theory that is free from any "male bias".
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  33.  44
    The association between parent-child relationship and problematic internet use among English- and Chinese-language studies: A meta-analysis.Yalin Zhu, Linyuan Deng & Kun Wan - 2022 - Frontiers in Psychology 13:885819.
    As past studies of the association between parent-child relationship and problematic internet use show mixed results and are influenced by many factors, this meta-analysis of 75 primary Chinese and English language studies from 1990 to 2021 with 110,601 participants (aged 6−25 years) explored (a) the overall association between parent-child relationship and problematic internet use, and (b) whether the association is affected by their types, country, measures, objects of the parent-child relationship, gender, age, year and publication types. We used funnel (...)
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  34. Legal Subversion of the Criminal Justice Process? Judicial, Prosecutorial and Police Discretion in Edmondson, Kindrat and Brown.Lucinda Vandervort - 2012 - In Elizabeth Sheehy (ed.), SEXUAL ASSAULT IN CANADA: LAW, LEGAL PRACTICE & WOMEN'S ACTIVISM,. Ottawa, ON, Canada: Ottawa: University of Ottawa Press. pp. 111-150.
    In 2001, three non-Aboriginal men in their twenties were charged with the sexual assault of a twelve year old Aboriginal girl in rural Saskatchewan. Legal proceedings lasted almost seven years and included two preliminary hearings, two jury trials, two retrials with juries, and appeals to the provincial appeal court and the Supreme Court of Canada. One accused was convicted. The case raises questions about the administration of justice in sexual assault cases in Saskatchewan. Based on observation and analysis of the (...)
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  35. Feminist Perspectives on Argumentation.Catherine E. Hundleby - forthcoming - Stanford Encyclopedia of Philosophy.
    Feminists note an association of arguing with aggression and masculinity and question the necessity of this connection. Arguing also seems to some to identify a central method of philosophical reasoning, and gendered assumptions and standards would pose problems for the discipline. Can feminine modes of reasoning provide an alternative or supplement? Can overarching epistemological standards account for the benefits of different approaches to arguing? These are some of the prospects for argumentation inside and outside of philosophy that feminists consider. -/- (...)
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  36. Token worries.Anca Gheaus - 2017 - The Forum.
    There are many grounds to object to tokenism, but that doesn’t mean we should always avoid being the token woman, argues Anca Gheaus.
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  37.  82
    The Relationship between subtle psychological cues and voter preferences among students at University of Zimbabwe.Tatenda Ngara - 2018 - Dissertation, University of Zimbabwe
    The success of any election depends on whether it was free and fair both to the candidates and the voters. Due to media coverage of national elections locally, regionally and globally, subtle psychological cues have become popular and are being used in student Representative Council (SRC) elections to harness voter preferences. This study focused on investigating the relationship between subtle psychological cues and voter preferences among university of Zimbabwe students. More so, the study was focused on four operationally defined subtle (...)
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  38. Future bias in action: does the past matter more when you can affect it?Andrew J. Latham, Kristie Miller, James Norton & Christian Tarsney - 2020 - Synthese 198 (12):11327-11349.
    Philosophers have long noted, and empirical psychology has lately confirmed, that most people are “biased toward the future”: we prefer to have positive experiences in the future, and negative experiences in the past. At least two explanations have been offered for this bias: belief in temporal passage and the practical irrelevance of the past resulting from our inability to influence past events. We set out to test the latter explanation. In a large survey, we find that participants exhibit significantly (...)
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  39. Implicit Bias as Mental Imagery.Bence Nanay - 2021 - Journal of the American Philosophical Association 7 (3):329-347.
    What is the mental representation that is responsible for implicit bias? What is this representation that mediates between the trigger and the biased behavior? My claim is that this representation is neither a propositional attitude nor a mere association. Rather, it is mental imagery: perceptual processing that is not directly triggered by sensory input. I argue that this view captures the advantages of the two standard accounts without inheriting their disadvantages. Further, this view also explains why manipulating mental imagery (...)
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  40. Prestige Bias: An Obstacle to a Just Academic Philosophy.Helen De Cruz - 2018 - Ergo: An Open Access Journal of Philosophy 5.
    This paper examines the role of prestige bias in shaping academic philosophy, with a focus on its demographics. I argue that prestige bias exacerbates the structural underrepresentation of minorities in philosophy. It works as a filter against (among others) philosophers of color, women philosophers, and philosophers of low socio-economic status. As a consequence of prestige bias our judgments of philosophical quality become distorted. I outline ways in which prestige bias in philosophy can be mitigated.
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  41. Implicit Bias, Moods, and Moral Responsibility.Alex Madva - 2018 - Pacific Philosophical Quarterly 99 (S1):53-78.
    Are individuals morally responsible for their implicit biases? One reason to think not is that implicit biases are often advertised as unconscious, ‘introspectively inaccessible’ attitudes. However, recent empirical evidence consistently suggests that individuals are aware of their implicit biases, although often in partial and inarticulate ways. Here I explore the implications of this evidence of partial awareness for individuals’ moral responsibility. First, I argue that responsibility comes in degrees. Second, I argue that individuals’ partial awareness of their implicit biases makes (...)
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  42. Implicit Bias, Character and Control.Jules Holroyd & Dan Kelly - 2016 - In Jonathan Webber & Alberto Masala (eds.), From Personality to Virtue. New York, NY, USA: pp. 106-133.
    Our focus here is on whether, when influenced by implicit biases, those behavioural dispositions should be understood as being a part of that person’s character: whether they are part of the agent that can be morally evaluated.[4] We frame this issue in terms of control. If a state, process, or behaviour is not something that the agent can, in the relevant sense, control, then it is not something that counts as part of her character. A number of theorists have argued (...)
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  43. Bias and Perception.Susanna Siegel - 2020 - In Erin Beeghly & Alex Madva (eds.), An Introduction to Implicit Bias: Knowledge, Justice, and the Social Mind. Routledge. pp. 99-115.
    chapter on perception and bias including implicit bias.
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  44. Bias and Knowledge: Two Metaphors.Erin Beeghly - 2020 - In Erin Beeghly & Alex Madva (eds.), An Introduction to Implicit Bias: Knowledge, Justice, and the Social Mind. New York, NY, USA: pp. 77-98.
    If you care about securing knowledge, what is wrong with being biased? Often it is said that we are less accurate and reliable knowers due to implicit biases. Likewise, many people think that biases reflect inaccurate claims about groups, are based on limited experience, and are insensitive to evidence. Chapter 3 investigates objections such as these with the help of two popular metaphors: bias as fog and bias as shortcut. Guiding readers through these metaphors, I argue that they (...)
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  45. Future Bias and Presentism.Sayid Bnefsi - 2020 - In Per Hasle, Peter Øhrstrøm & David Jakobsen (eds.), The Metaphysics of Time: Themes from Prior. Aalborg: pp. 281-297.
    Future-biased agents care not only about what experiences they have, but also when they have them. Many believe that A-theories of time justify future bias. Although presentism is an A-theory of time, some argue that it nevertheless negates the justification for future bias. Here, I claim that the alleged discrepancy between presentism and future bias is a special case of the cross-time relations problem. To resolve the discrepancy, I propose an account of future bias as a (...)
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  46. Confirmation bias without rhyme or reason.Matthias Michel & Megan A. K. Peters - 2020 - Synthese 199 (1-2):2757-2772.
    Having a confirmation bias sometimes leads us to hold inaccurate beliefs. So, the puzzle goes: why do we have it? According to the influential argumentative theory of reasoning, confirmation bias emerges because the primary function of reason is not to form accurate beliefs, but to convince others that we’re right. A crucial prediction of the theory, then, is that confirmation bias should be found only in the reasoning domain. In this article, we argue that there is evidence (...)
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  47. Hindsight bias is not a bias.Brian Hedden - 2019 - Analysis 79 (1):43-52.
    Humans typically display hindsight bias. They are more confident that the evidence available beforehand made some outcome probable when they know the outcome occurred than when they don't. There is broad consensus that hindsight bias is irrational, but this consensus is wrong. Hindsight bias is generally rationally permissible and sometimes rationally required. The fact that a given outcome occurred provides both evidence about what the total evidence available ex ante was, and also evidence about what that evidence (...)
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  48. Gender and Gender Terms.Elizabeth Barnes - 2020 - Noûs 54 (3):704-730.
    Philosophical theories of gender are typically understood as theories of what it is to be a woman, a man, a nonbinary person, and so on. In this paper, I argue that this is a mistake. There’s good reason to suppose that our best philosophical theory of gender might not directly match up to or give the extensions of ordinary gender categories like ‘woman’.
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  49. Bias in Science: Natural and Social.Joshua May - 2021 - Synthese 199 (1-2):3345–3366.
    Moral, social, political, and other “nonepistemic” values can lead to bias in science, from prioritizing certain topics over others to the rationalization of questionable research practices. Such values might seem particularly common or powerful in the social sciences, given their subject matter. However, I argue first that the well-documented phenomenon of motivated reasoning provides a useful framework for understanding when values guide scientific inquiry (in pernicious or productive ways). Second, this analysis reveals a parity thesis: values influence the social (...)
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  50. Algorithmic Bias and Risk Assessments: Lessons from Practice.Ali Hasan, Shea Brown, Jovana Davidovic, Benjamin Lange & Mitt Regan - 2022 - Digital Society 1 (1):1-15.
    In this paper, we distinguish between different sorts of assessments of algorithmic systems, describe our process of assessing such systems for ethical risk, and share some key challenges and lessons for future algorithm assessments and audits. Given the distinctive nature and function of a third-party audit, and the uncertain and shifting regulatory landscape, we suggest that second-party assessments are currently the primary mechanisms for analyzing the social impacts of systems that incorporate artificial intelligence. We then discuss two kinds of as-sessments: (...)
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